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Introduction: Active surveillance (AS) is increasingly recognized as an appropriate strategy for selected patients with papillary thyroid microcarcinomas (PTMC). However, some factors, including physician-related ones, hinder its widespread adoption. Methods: To explore the prevailing barriers and the impact of information on attitudes towards AS implementation, we developed a questionnaire that was completed before and after reading a simple information leaflet by 317 doctors working in different work environments. This leaflet provides information about the overdiagnosis of PTMC, the concept of AS, results of early studies, and main advantages and disadvantages of AS. Results: We observed a greater resistance to AS among male physicians who were more likely to maintain the initial recommendation for surgery or referral to a head and neck surgeon than female physicians (77 % vs. 46 %, p = 0.01), regardless of their medical specialty. Fear of disease progression and of the patient losing follow-up were the main concerns. Reading the educational material significantly increased the number of physicians who endorsed AS as an initial approach to PTMC without risk factors from 14 % to 34 % (p

Understanding the complex mechanisms involved in diseases caused by or related to important genetic variants has led to the development of clinically useful biomarkers. However, the increasing number of described variants makes it difficult to identify variants worthy of investigation, and poses challenges to their validation. We combined publicly available datasets and open source robust bioinformatics tools with molecular quantum chemistry methods to investigate the involvement of selectins, important molecules in the cell adhesion process that play a fundamental role in the cancer metastasis process. We applied this strategy to investigate single nucleotide variants (SNPs) in the intronic and UTR regions and missense SNPs with amino acid changes in the SELL, SELP, SELE, and SELPLG genes. We then focused on thyroid cancer, seeking these SNPs potential to identify biomarkers for susceptibility, diagnosis, prognosis, and therapeutic targets. We demonstrated that SELL gene polymorphisms rs2229569, rs1131498, rs4987360, rs4987301 and rs2205849; SELE gene polymorphisms rs1534904 and rs5368; rs3917777, rs2205894 and rs2205893 of SELP gene; and rs7138370, rs7300972 and rs2228315 variants of SELPLG gene may produce important alterations in the DNA structure and consequent changes in the morphology and function of the corresponding proteins. In conclusion, we developed a strategy that may save valuable time and resources in future investigations, as we were able to provide a solid foundation for the selection of selectin gene variants that may become important biomarkers and deserve further investigation in cancer patients. Large-scale clinical studies in different ethnic populations and laboratory experiments are needed to validate our results.